# Copyright (c) 2024 Mira Geoscience Ltd.
#
# This file is part of geoh5py.
#
# geoh5py is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# geoh5py is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with geoh5py. If not, see <https://www.gnu.org/licenses/>.
from __future__ import annotations
import uuid
import warnings
import numpy as np
from ..shared.utils import box_intersect, mask_by_extent
from .object_base import ObjectBase, ObjectType
[docs]
class Points(ObjectBase):
"""
Points object made up of vertices.
"""
__TYPE_UID = uuid.UUID("{202C5DB1-A56D-4004-9CAD-BAAFD8899406}")
def __init__(self, object_type: ObjectType, name="Points", **kwargs):
self._vertices: np.ndarray | None = None
super().__init__(object_type, name=name, **kwargs)
[docs]
@classmethod
def default_type_uid(cls) -> uuid.UUID:
return cls.__TYPE_UID
@property
def extent(self) -> np.ndarray | None:
"""
Geography bounding box of the object.
:return: shape(2, 3) Bounding box defined by the bottom South-West and
top North-East coordinates.
"""
if self.vertices is not None:
return np.c_[self.vertices.min(axis=0), self.vertices.max(axis=0)].T
return None
[docs]
def mask_by_extent(
self, extent: np.ndarray, inverse: bool = False
) -> np.ndarray | None:
"""
Sub-class extension of :func:`~geoh5py.shared.entity.Entity.mask_by_extent`.
"""
if self.extent is None or not box_intersect(self.extent, extent):
return None
return mask_by_extent(self.vertices, extent, inverse=inverse)
@property
def vertices(self) -> np.ndarray | None:
"""
:obj:`~geoh5py.objects.object_base.ObjectBase.vertices`
"""
if self._vertices is None and self.on_file:
self._vertices = self.workspace.fetch_array_attribute(self, "vertices")
if self._vertices is not None:
return self._vertices.view("<f8").reshape((-1, 3))
return None
@vertices.setter
def vertices(self, xyz: np.ndarray):
if xyz.ndim != 2 or xyz.shape[1] != 3:
raise ValueError(
f"Array of vertices must be of shape (*, 3). Array of shape {xyz.shape} provided."
)
if self._vertices is not None and xyz.shape[0] < self._vertices.shape[0]:
raise ValueError(
"Attempting to assign 'vertices' with fewer values. "
"Use the `remove_vertices` method instead."
)
self._vertices = np.asarray(
np.core.records.fromarrays(
xyz.T.tolist(),
dtype=[("x", "<f8"), ("y", "<f8"), ("z", "<f8")],
)
)
self.workspace.update_attribute(self, "vertices")
[docs]
def remove_vertices(
self, indices: list[int] | np.ndarray, clear_cache: bool = False
):
"""
Safely remove vertices and corresponding data entries.
:param indices: Indices of vertices to remove.
:param clear_cache: Clear cached data and attributes.
"""
if self.vertices is None:
warnings.warn("No vertices to be removed.", UserWarning)
return
if isinstance(indices, list):
indices = np.array(indices)
if not isinstance(indices, np.ndarray):
raise TypeError("Indices must be a list or numpy array.")
if (
isinstance(self.vertices, np.ndarray)
and np.max(indices) > self.vertices.shape[0] - 1
):
raise ValueError("Found indices larger than the number of vertices.")
vertices = np.delete(self.vertices, indices, axis=0)
self._vertices = None
self.vertices = vertices
self.remove_children_values(indices, "VERTEX", clear_cache=clear_cache)
[docs]
def copy(
self,
parent=None,
copy_children: bool = True,
clear_cache: bool = False,
mask: np.ndarray | None = None,
**kwargs,
):
"""
Sub-class extension of :func:`~geoh5py.shared.entity.Entity.copy`.
"""
if mask is not None and self.vertices is not None:
if not isinstance(mask, np.ndarray) or mask.shape != (
self.vertices.shape[0],
):
raise ValueError("Mask must be an array of shape (n_vertices,).")
kwargs.update({"vertices": self.vertices[mask]})
new_entity = super().copy(
parent=parent,
copy_children=copy_children,
clear_cache=clear_cache,
mask=mask,
**kwargs,
)
return new_entity